Mechatronics Controls Engineer

Apple•Sunnyvale, CA

About The Position

One of Apple’s R&D groups is seeking a Mechatronics Controls Engineer to develop, prototype, and validate complex, next-generation electro-mechanical-sensor-driven systems. The engineer will develop custom sensor calibration, signal processing, estimation, and controls algorithms for a range of product concepts. The work includes real-world modeling, simulation, machine-learned and traditional algorithms, embedded implementation, and real-world testing. The role is suited to a hands-on, creative individual eager to push performance boundaries on cutting-edge hardware. The engineer will partner with mechanical, electrical, control, embedded firmware, and AI/ML resources to develop end-to-end mechatronics experiences.

Requirements

  • Master’s degree in Engineering, Robotics, or Computer Science.
  • At least 8 years of related experience.
  • Skill in the development, theory, design, modeling, and implementation of control systems.
  • Deep understanding of kinematics, dynamics, and equations of motion for dynamic systems.
  • Experience with hardware/software integration and physical-system debugging.
  • Proficiency in C/C++ and Python or MATLAB.
  • Experience with modern software development workflows and version control such as Git.
  • Experience with generative AI developer productivity tools such as Claude.

Nice To Haves

  • PhD in Engineering, Robotics, or Computer Science.
  • Strong knowledge of classical and modern control theory, robotics, and digital signal processing.
  • Experience with rotary sensing (encoders), inertial measurement systems, and inertial state propagation.

Responsibilities

  • Develop, prototype, and validate complex electro-mechanical-sensor-driven systems.
  • Develop custom sensor calibration, signal processing, estimation, and controls algorithms.
  • Perform real-world modeling and simulation; develop machine-learned and traditional algorithms.
  • Implement algorithms in embedded systems and test them in real-world conditions.
  • Partner with mechanical, electrical, control, embedded firmware, and AI/ML resources to develop end-to-end mechatronics experiences.
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